Tensor decomposition is a powerful unsupervised machine learning technique capable of
modeling multidimensional data, including that related to malware. This chapter discusses a …

Detecting malware has become extremely important with the increasing exposure of
computational systems and mobile devices to online services. However, the rapidly evolving …

Parametric methods are widely utilized in RGB-based human mesh recovery, relying on
precise statistical human body model parameters that are challenging to obtain. In contrast …

National security is threatened by malware, which remains one of the most dangerous and
costly cyber threats. As of last year, researchers reported 1.3 billion known malware …

In several Machine Learning (ML) clustering and dimensionality reduction approaches, such
as non-negative matrix factorization (NMF), RESCAL, and K-Means clustering, users must …

Supervisory Control and Data Acquisition (SCADA) systems often serve as the nervous
system for substations within power grids. These systems facilitate real-time monitoring, data …

Malware continues to be one of the most dangerous and costly cyber threats to national
security. As of last year, over 1.3 billion malware specimens have been documented …

A Complete Bibliography of ACM Transactions on Privacy and Security (TOPS) Page 1 A
Complete Bibliography of ACM Transactions on Privacy and Security (TOPS) Nelson HF …